Forestry-TEP responds to user needs for sentinel data value adding in cloud

Tuomas Häme, Renne Tergujeff, Yrjö Rauste, Clive Farquhar, Peter van Zetten, Philip Kershaw, Arnaud de Groof, Jarno Hämäläinen, Joost van Bemmelen, Frank Martin Seifert

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific


    The response from the user community has shown a great need for the Forestry Thematic Exploitation Platform (Forestry-TEP) that entered into the pre-operational phase in summer 2017. Forestry TEP offers a one-stop-shop for forestry remote sensing services. It makes data value adding quicker and smoother than traditional approaches that the users have applied. The platform offers access to imagery, computing infrastructure, ready-made value adding services and an opportunity for users to develop and upload their own applications to the platform. It forms a worldwide marketing channel for commercial remote sensing services and a networking forum for users. Ten thematic processing services are presently available on the Forestry TEP - from computing vegetation indices and mapping of land and forest cover to biomass and change estimation. In addition, a user can utilize all the features of the Sentinel Application Platform (SNAP) image processing application, the Monteverdi/Orfeo toolbox, and the open source QGIS tool. The platform will move to an operational phase in 2018.
    Original languageEnglish
    Title of host publicationProceedings of the 2017 conference on Big Data from Space (BIDS' 2017)
    EditorsP.G. Marchetti, P. Soille
    PublisherEuropean Commission EC
    ISBN (Print)978-92-79-73527-1
    Publication statusPublished - 27 Nov 2017
    MoE publication typeB3 Non-refereed article in conference proceedings
    EventConference on Big Data from Space, BiDS' 2017 - Toulouse, France
    Duration: 28 Nov 201730 Nov 2017

    Publication series

    SeriesEU Publications


    ConferenceConference on Big Data from Space, BiDS' 2017
    Abbreviated title BiDS' 2017


    • forestry
    • earth observation
    • remote sensing
    • platform


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